In order to ensure the effective use of funds, the government must carry out reasonable traffic planning, in which traffic network design is one of the core contents of traffic planning. The traditional transportation planning has unreasonable factors due to deterministic assumptions. This paper assumes that the demand is a random variable, and then considers the time factor. With the cost recovery and link update as the constraint conditions, the real option is used to solve the problem of the flexibility value of the optimization strategy. The optimization model under uncertainty considering the time factor is given, and the real option is solved by using the LSM method. Genetic algorithm with Monte Carlo is used for network design. The example analysis shows that time factor has a significant impact on network construction decision-making, and real options can effectively describe the flexibility of network construction decision-making.
The scale and density of highway network is an intuitive indicator to understand and analyze the development level of regional highway. In this paper, we use the density index to compare and analyze the difference in the development level of highway networks between China and the world's major transportation power countries, and we also analyze the development law of highway network scale. On this basis, combined with the future economic and social development trends, we put forward some strategies for the development of China's highway network, which can provide reference for the formulation of highway network planning and related policies.
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